A Resource-Oriented Approach on Data Services

This technical session will describe how a resource-oriented approach can be used to transform data into data services. Using a combination of REST, Python and RDF, we'll show you how to create data resources which can be composed into transformation pipelines. In this system, pipelines are also resources, allowing incremental composition of new data services based on existing ones. This session will include an overview of the SnapLogic Open Source data integration toolkit. We will also take a look at some real world examples: